The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.
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20152019
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3 works in the cohort · of 4,299,418page 1 of 1
Labels cover 0 of 3 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.
Distilled predictions cover 3 of 3 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.
2015· article· en· Journal of Agriculture and Rural Development in the Tropics and Subtropics (University of Kassel)· Agricultural and Biological Sciences
Natalie Carter, Catherine E. Dewey, Delia Grace, Ben A. Lukuyu, E. Lamar. Smith, Cornelis de Lange
2018· article· en· Journal of Agriculture and Rural Development in the Tropics and Subtropics (University of Kassel)· Agricultural and Biological Sciences
Jeffrey D. Wyatt, Andrew Winterborn, Ibu Setiawati
2019· article· en· Journal of Agriculture and Rural Development in the Tropics and Subtropics (University of Kassel)· Agricultural and Biological Sciences